Radical New AI changes Privacy:

DeepSeek Chinese AI can train the model for a fraction of the cost.

DeepSeek can do it for like 6 million, when ChatGPT is 100 million

This has huge implications for privacy, as device, ping time, and browser fingerprints, which are 70+ factors, can be trained much cheaper. Amazon and some airlines are already starting to develop with open source DeepSeek code base. Almost every major website in the future will be doing heavy AI pattern recognition to sell ads, and force you to unblock types of JavaScript... Due to how profitable it is to serve custom ads.

Fingerprint-Pro already can see through Mullvad/Tor Browser letterboxing. And that JavaScript is sold to hundreds of major services. But now with cheap to train models, stuff using DeepSeek code-bases will do probability calculations on browser version, IP, timezone, screen dimensions, and much more with real reliability.

Once again consider our system designed to evade this with different browser fingerprints that are created in a single easy click:

https://vpn.simplifiedprivacy.com

Btw don't you dare post in the comments some black pill pessimism that the NSA and AI can see everything no matter what. We worked hard to develop this open source system, and there is no way to detect it. You can not undo that with one sentence of your blind pessimism.

Reply to this note

Please Login to reply.

Discussion

Is there a iOS app for this? I looked on your docs & it seems there’s an .apk, browser & desktop download version from CLI but nothing for iOS

Hey eandy, thanks for writing in. So the VPN can be used with Mac, however our CLIENT is for Linux.

But this can be plugged into a generic WireGuard for Mac such as:

https://apps.apple.com/us/app/wireguard/id1451685025?mt=12

The benefits of this are that it's cheaper and more decentralized/private datacenters. The only real downside is a couple minutes to setup. If you are down, reach out over any method you prefer,

https://simplifiedprivacy.com/contact.html

In my opinion they could try to identify the user using mouse movement patterns. Everybody has a different "style" when moving the mouse over the page.